Answer:
R-squared is a statistical measure of how close the data are to the fitted regression line.
Step-by-step explanation:
It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression. ... 100% indicates that the model explains all the variability of the response data around its mean.
What about it that is not a question
Answer:
Thanks :)
Step-by-step explanation: I hope you have/had an amazing day today<3
<em>Refer</em><em> </em><em>to</em><em> </em><em>the</em><em> </em><em>attachment</em>
The point-slope form of the equation of the line is:
(y - y1) = m (x - x1)
So, (y + 2) = - 1/3 (x - 4) in the point-slope form is:
[y - (-2) ] = (-1/3) [ x - 4 ]
You must, then realize that the line passes through the point (4,-2) and its slope is - 1 /3.
That slope, -1 / 3, means that the function is decresing (because the slope is negative), and it decreases one unit when x increases 3 units.
Now you can fill in the blanks in this way:
Plot the point (4, -2), move 1 unit down, and 3 units over to find the next point on the line.
